parallel-agents

To coordinate multiple AI agents for parallel analysis, you need an orchestration workflow that manages discovery, analysis, and synthesis. This allows specialized agents to analyze different domains simultaneously and share context.

Multi-agent orchestration is the process of directing specialized agents to handle distinct parts of a complex task in parallel. It enables scalable automation by synthesizing their individual findings into a unified final report.

You can run a multi-domain security and code quality review by orchestrating specialized agents to analyze each domain in parallel. The orchestrator then applies a unified synthesis protocol to combine their findings.

Yes, multi-agent coordination supports in-context project reviews by enabling agent-to-agent context sharing. This ensures all specialized agents operate with the necessary background information during analysis.

The best way to synthesize reports from multiple specialized agents is using a unified synthesis protocol within an orchestration workflow. This consolidates parallel analysis outputs into a single coherent document.